Interpreting quantitative data / (Record no. 22241)

MARC details
000 -LEADER
fixed length control field 03683nam a2200241 a 4500
001 - CONTROL NUMBER
control field 22233
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240104130345.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180409s2002 enka b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0761962611
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 076196262X
040 ## - CATALOGING SOURCE
Original cataloging agency BD-DhIUB
Transcribing agency BD-DhIUB
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 300.72
Edition number 21
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Byrne, D. S.
Fuller form of name (David S.),
Dates associated with a name 1947-
245 10 - TITLE STATEMENT
Title Interpreting quantitative data /
Statement of responsibility, etc David Byrne.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc London ;
-- Thousand Oaks, Calif. :
Name of publisher, distributor, etc SAGE,
Date of publication, distribution, etc 2002.
300 ## - PHYSICAL DESCRIPTION
Extent x, 176 p. :
Other physical details ill. ;
Dimensions 25 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references (p. [166]-170) and index.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Machine generated contents note: Introduction 1 -- 1 Interpreting the Real and Describing the Complex: -- Why We Have to Measure 12 -- Positivism, realism and complexity 14 -- Naturalism - a soft foundationalist argument 17 -- There are no universals but, nevertheless, we can know 19 -- Models and measures: a first pass 21 -- Contingency and method - retroduction and retrodiction 25 -- Conclusion 27 -- 2 The Nature of Measurement: What We Measure and -- How We Measure 29 -- Death to the variable 29 -- State space 32 -- Classification 34 -- Sensible and useful measuring 37 -- Conclusion 41 -- 3 The State's Measurements: The Construction and -- Use of Official Statistics 44 -- The history of statistics as measures 45 -- Official and semi-official statistics 49 -- Social indicators 52 -- Tracing individuals 56 -- Secondary data analysis 57 -- Sources 57 -- Conclusion 58 -- 4 Measuring the Complex World: The Character of Social Surveys 61 -- Knowledge production - the survey as process 63 -- Models from surveys - beyond the flowgraph? 66 -- Representative before random - sampling in the real world 72 -- Conclusion 77 -- 5 Probability and Quantitative Reasoning 79 -- Objective probability versus the science of clues 80 -- Single case probabilities - back to the specific 84 -- Gold standard - or dross? 84 -- Understanding Head Start 88 -- Probabilistic reasoning in relation to non-experimental data 90 -- Randomness, probability, significance and investigation 92 -- Conclusion 93 -- 6 Interpreting Measurements: Exploring, Describing and Classifying 95 -- Basic exploration and description 96 -- Making sets of categories - taxonomy as social exploration 99 -- Can classifying help us to sort out causal processes? 105 -- Conclusion 110 -- 7 Linear Modelling: Clues as to Causes 112 -- Statistical models 113 -- Flowgraphs: partial correlation and path analysis 116 -- Working with latent variables - making things out of things -- that don't exist anyhow 117 -- Multi-level models 120 -- Statistical black boxes - Markov chains as an example 122 -- Loglinear techniques - exploring for interaction 123 -- Conclusion 128 -- 8 Coping with Non-linearity and Emergence: Simulation and -- Neural Nets 130 -- Simulation - interpreting through virtual worlds 131 -- Micro-simulation - projecting on the basis of aggregation 133 -- Multi-agent models - interacting entities 135 -- Neural nets are not models but inductive empiricists 139 -- Models as icons, which are also tools 141 -- Using the tools 142 -- Conclusion 143 -- 9 Qualitative Modelling: Issues of Meaning and Cause 145 -- From analytic induction through grounded theory to computer -- modelling - qualitative exploration of cause 147 -- Coding qualitative materials 150 -- Qualitative Comparative Analysis (QCA) - a Boolean approach 154 -- Iconic modelling 157 -- Integrative method 159 -- Conclusion 160 -- Conclusion 162 -- Down with: 162 -- Up with: 163 -- Action theories imply action164.
526 ## - STUDY PROGRAM INFORMATION NOTE
Department Computer Science and Engineering
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Research.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Methodology.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences
General subdivision Statistical methods.
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification   Not For Loan Library, Independent University, Bangladesh (IUB) Library, Independent University, Bangladesh (IUB) Available at Centre for Social Science Research 16/04/2018   300.72 B9954i 2002 022965 16/04/2018 01 16/04/2018 Books